This scholarly article critically examines the application of Artificial Intelligence (AI) in facilitating the acceptance of electric vehicles (EVs) in the urban context of Bengaluru, India. Given the global necessity to shift towards sustainable transportation, EVs emerge as a feasible solution to address environmental issues and decrease reliance on fossil fuels. Bengaluru, a rapidly expanding urban centre in India dealing with increasing vehicular congestion and pollution, offers a relevant case for assessing the effectiveness of AI in promoting EV adoption. Through the utilization of Interpretive Structural Modelling (ISM), this investigation analyses the interconnectedness among different factors influencing EV uptake, with a specific focus on the role of AI technologies. By amalgamating perspectives from industry professionals, policymakers, and academics, a hierarchical framework is developed to identify the main facilitators and obstacles linked to integrating AI into Bengaluru’s EV ecosystem. The results emphasize the varied impact of AI on various aspects of EV adoption, including elements such as enhancing infrastructure, consumer behaviour, policy development, and technological progress. Moreover, the study clarifies the intricate interaction of socioeconomic elements, technological advancements, and regulatory frameworks that influence the direction of EV adoption in Bengaluru. Through an exhaustive examination of the ISM model, this study provides strategic suggestions and policy recommendations to leverage the potential of AI in expediting the shift towards sustainable transportation in Bengaluru. By offering a comprehensive comprehension of the mutually beneficial relationship between AI and EV adoption, this research enriches existing literature, with implications for urban development, environmental sustainability, and technological advancement.